Revenue and Monetization Analysis

Revenue and monetization analysis focus on understanding how a product generates income and how users contribute to that revenue. Instead of only tracking activity, this analysis examines financial outcomes such as total revenue, revenue per user, and payment behavior.

Monetization data is typically stored in the orders and payments tables. The orders table captures transactions, while the payments table records how and whether those transactions were successfully completed. By analyzing this data, businesses can evaluate financial performance and identify opportunities to increase revenue.

Revenue analysis helps answer questions such as which users generate the most value, which payment methods are most common, and how revenue is distributed across the product.

For beginners, the goal is to:

• Understand how revenue is recorded in product systems
• Identify key monetization tables and fields
• Measure total and average revenue
• Analyze revenue patterns across users and transactions

• Total revenue generated
• Revenue by user
• Payment patterns
• Distribution of revenue across transactions

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The Basic Pattern

SELECT column_name
FROM table_name;
  

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Examples

Example 1 — Calculate Total Revenue

Example 2 — Calculate Average Order Value

Example 3 — Count Payments by Method

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Practice Tasks (Your Turn!)

Task 1

Find the total revenue generated by each user.

Task 2

Find the number of orders placed on each date.

Task 3

Find the total amount paid for each payment status.